Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
| Ano de defesa: | 2007 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Tese |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Universidade Federal de Minas Gerais
|
| Programa de Pós-Graduação: |
Não Informado pela instituição
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Não Informado pela instituição
|
| Palavras-chave em Português: | |
| Link de acesso: | https://hdl.handle.net/1843/RVMR-7CTQ2W |
Resumo: | In telecommunication and transportation systems, the multiple allocation hub location problem arises when we must flow commodities or information between several origin-destination pairs. Instead of establishing a direct node to node connection from an origin to its destination, the flows are concentrated with others at facilities called hubs. These flows are transported on links established between hubs, being then splitted and delivered to its final destination. Systems with this sort of topology are named hub-and-spoke systems or hub-and-spoke networks. They are designed to exploit the scale economies attainable through theshared use of high capacity links between hubs. Therefore, the problem is to find the least expensive hub-and-spoke network, selecting hubs and assigning traffic to them, given the demands between each origin-destination pair and the respective transportation costs. In the present work, we study threedifferent versions of the problem: the classical, the flow dependent scale economies and the congestioned. Efficient Benders decomposition algorithms have been deployed to tackle the problems. We have been able to solve some large instances, considered out of reach' of other exact methods in reasonable time. |
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Sistemas eixo-raio de múltipla atribuição: modelos e algoritmosSistemas de telecomunicaçõesComputaçãoTelecomunicações Tráfegoeixo-raiootimizaçãoIn telecommunication and transportation systems, the multiple allocation hub location problem arises when we must flow commodities or information between several origin-destination pairs. Instead of establishing a direct node to node connection from an origin to its destination, the flows are concentrated with others at facilities called hubs. These flows are transported on links established between hubs, being then splitted and delivered to its final destination. Systems with this sort of topology are named hub-and-spoke systems or hub-and-spoke networks. They are designed to exploit the scale economies attainable through theshared use of high capacity links between hubs. Therefore, the problem is to find the least expensive hub-and-spoke network, selecting hubs and assigning traffic to them, given the demands between each origin-destination pair and the respective transportation costs. In the present work, we study threedifferent versions of the problem: the classical, the flow dependent scale economies and the congestioned. Efficient Benders decomposition algorithms have been deployed to tackle the problems. We have been able to solve some large instances, considered out of reach' of other exact methods in reasonable time.Universidade Federal de Minas Gerais2019-08-11T10:32:12Z2025-09-08T23:00:45Z2019-08-11T10:32:12Z2007-09-13info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttps://hdl.handle.net/1843/RVMR-7CTQ2WRicardo Saraiva de Camargoinfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2025-09-08T23:00:45Zoai:repositorio.ufmg.br:1843/RVMR-7CTQ2WRepositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-08T23:00:45Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
| dc.title.none.fl_str_mv |
Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos |
| title |
Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos |
| spellingShingle |
Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos Ricardo Saraiva de Camargo Sistemas de telecomunicações Computação Telecomunicações Tráfego eixo-raio otimização |
| title_short |
Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos |
| title_full |
Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos |
| title_fullStr |
Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos |
| title_full_unstemmed |
Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos |
| title_sort |
Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos |
| author |
Ricardo Saraiva de Camargo |
| author_facet |
Ricardo Saraiva de Camargo |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Ricardo Saraiva de Camargo |
| dc.subject.por.fl_str_mv |
Sistemas de telecomunicações Computação Telecomunicações Tráfego eixo-raio otimização |
| topic |
Sistemas de telecomunicações Computação Telecomunicações Tráfego eixo-raio otimização |
| description |
In telecommunication and transportation systems, the multiple allocation hub location problem arises when we must flow commodities or information between several origin-destination pairs. Instead of establishing a direct node to node connection from an origin to its destination, the flows are concentrated with others at facilities called hubs. These flows are transported on links established between hubs, being then splitted and delivered to its final destination. Systems with this sort of topology are named hub-and-spoke systems or hub-and-spoke networks. They are designed to exploit the scale economies attainable through theshared use of high capacity links between hubs. Therefore, the problem is to find the least expensive hub-and-spoke network, selecting hubs and assigning traffic to them, given the demands between each origin-destination pair and the respective transportation costs. In the present work, we study threedifferent versions of the problem: the classical, the flow dependent scale economies and the congestioned. Efficient Benders decomposition algorithms have been deployed to tackle the problems. We have been able to solve some large instances, considered out of reach' of other exact methods in reasonable time. |
| publishDate |
2007 |
| dc.date.none.fl_str_mv |
2007-09-13 2019-08-11T10:32:12Z 2019-08-11T10:32:12Z 2025-09-08T23:00:45Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
| format |
doctoralThesis |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1843/RVMR-7CTQ2W |
| url |
https://hdl.handle.net/1843/RVMR-7CTQ2W |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
| publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
| dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
| instname_str |
Universidade Federal de Minas Gerais (UFMG) |
| instacron_str |
UFMG |
| institution |
UFMG |
| reponame_str |
Repositório Institucional da UFMG |
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Repositório Institucional da UFMG |
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Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG) |
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repositorio@ufmg.br |
| _version_ |
1856414031439462400 |